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Coupled Problems in Computational Modeling of the Respiratory System

In: High Performance Computing on Vector Systems 2007

Author

Listed:
  • Lena Wiechert

    (Technical University of Munich, Chair of Computational Mechanics)

  • Timon Rabczuk

    (Technical University of Munich, Chair of Computational Mechanics
    University of Canterbury, Mechanical Engineering Department)

  • Michael Gee

    (Technical University of Munich, Chair of Computational Mechanics)

  • Robert Metzke

    (Technical University of Munich, Chair of Computational Mechanics)

  • Wolfgang A. Wall

    (Technical University of Munich, Chair of Computational Mechanics)

Abstract

Biomechanical simulations are an important field of application for high performance computing due to the complexity and largeness of involved problems. This paper is concerned with coupled problems in the human respiratory system with emphasis on mechanical ventilation. In this context we focus on the modeling aspects of pulmonary alveoli and the lower airways. Our alveolar model is based on artificially generated random geometries and takes into account realistic tissue behavior as well as interfacial phenomena. On the part of the structural solver a smoothed aggregation algebraic multigrid method is used. For the first four generations of the bronchial tree, a geometry based on human computer tomography scans obtained from in-vivo experiments is employed. With the help of fluid-structure interaction simulations, flow patterns and airway wall stresses for normal breathing and mechanical ventilation of the healthy and diseased lung are investigated.

Suggested Citation

  • Lena Wiechert & Timon Rabczuk & Michael Gee & Robert Metzke & Wolfgang A. Wall, 2008. "Coupled Problems in Computational Modeling of the Respiratory System," Springer Books, in: Michael Resch & Sabine Roller & Peter Lammers & Toshiyuki Furui & Martin Galle & Wolfgang Bez (ed.), High Performance Computing on Vector Systems 2007, pages 145-166, Springer.
  • Handle: RePEc:spr:sprchp:978-3-540-74384-2_12
    DOI: 10.1007/978-3-540-74384-2_12
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